Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor

  title={Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor},
  author={Yuzhu Li and Tairan Liu and Hatice Ceylan Koydemir and Hongda Wang and Keelan O'Riordan and Bijie Bai and Yuta Haga and Junji Kobashi and Hitoshi Tanaka and Takaya Tamaru and Kazunori Yamaguchi and Aydogan Ozcan},
Early detection and identification of pathogenic bacteria such as Escherichia coli ( E. coli ) is an essential task for public health. The conventional culture-based methods for bacterial colony detection usually take ≥24 hours to get the final read-out. Here, we demonstrate a bacterial colony-forming-unit (CFU) detection system exploiting a thin-film-transistor (TFT)-based image sensor array that saves ~12 hours compared to the Environmental Protection Agency (EPA)-approved methods. To… 
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Escherichia Coli in Drinking Water
  • J. Appl. Microbiol
  • 2000